o9 Solutions is an AI-powered integrated business planning platform for large enterprises. See features, integrations, pricing, and who it's built for.
Researched and fact-checked by Bartu Cavusoglu · Updated October 16, 2026
Custom-quoted enterprise pricing — no self-serve tiers or public price list; contact o9 sales for a quote scoped to modules, data volume, and users.
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Last updated
October 16, 2026
Founded
2009
Headquarters
Dallas, Texas, United States
SaaSPredictive AnalyticsEnterpriseAI
o9 Solutions provides an AI-driven integrated business planning (IBP) platform built around what the company calls the Digital Brain — a unified data model and Enterprise Knowledge Graph (EKG) that connects demand, supply, procurement, finance, and commercial planning into a single system instead of siloed spreadsheets and point tools.
Founded in 2009 and headquartered in Dallas, Texas, o9 has grown into one of the best-known enterprise supply-chain-planning vendors, reaching unicorn ($1B+) valuation on the back of large enterprise contracts. Its customers are typically Fortune 500-scale organizations in CPG, retail, automotive, technology, and industrial manufacturing that run demand forecasting, supply planning, sales & operations planning (S&OP), revenue growth management (RGM), and supply chain control tower use cases on the platform.
Rather than treating planning as a one-way data pipeline, o9 models a company's operations as a live knowledge graph of interconnected entities (products, locations, suppliers, customers, constraints), letting planners run AI/ML-based forecasts and real-time what-if scenarios and immediately see downstream impact across the business. The platform ingests data from ERP systems (SAP, Oracle, Microsoft Dynamics), cloud data warehouses (Snowflake, BigQuery), and IoT/streaming sources, layering optimization solvers and generative-AI assistance on top.
o9 is sold as an enterprise SaaS platform with no self-serve tier or published pricing; deployments are scoped and quoted per customer and typically involve a sales-led, multi-month implementation.
Key Features
Digital Brain / Enterprise Knowledge Graph — A unified data model that connects demand, supply, finance, and commercial planning data into one live knowledge graph instead of siloed spreadsheets and point tools.
AI/ML-based demand forecasting — Machine-learning forecasting models that generate and continuously refine demand predictions across products, channels, and regions.
Supply planning & inventory optimization — Balances supply against forecasted demand and constraints to optimize inventory, production, and distribution plans.
Integrated Business Planning (IBP) & S&OP — Connects strategic, financial, and operational plans so sales & operations planning cycles run off one consistent data set.
Revenue Growth Management (RGM) — Commercial planning tools for CPG and retail that align pricing, promotion, and trade spend decisions with supply and demand plans.
Supply Chain Control Tower — Real-time visibility and exception management across the end-to-end supply chain, surfacing disruptions and recommended responses.
What-if scenario planning — Lets planners simulate the downstream impact of demand shocks, supply disruptions, or commercial decisions before committing to a plan.
Prebuilt ERP & data-warehouse connectors — Ships with connectors and mapping templates for SAP, Oracle, Microsoft Dynamics, Snowflake, and Google BigQuery, plus APIs for real-time and batch integration.
Pros & Cons
Pros
Enterprise Knowledge Graph (Digital Brain) unifies demand, supply, finance, and commercial planning data into one connected model instead of siloed point solutions
AI/ML-based forecasting and real-time what-if scenario planning across the full value chain
Prebuilt connectors for major ERPs (SAP, Oracle, Microsoft Dynamics) and cloud data platforms (Snowflake, BigQuery)
Proven at large scale with Fortune 500-level manufacturers, retailers, and CPG companies
Broad planning surface in one platform: demand, supply, S&OP, IBP, revenue growth management, and control tower
Cons
No published pricing — requires an enterprise sales cycle and custom quote before you know total cost
Overkill and cost-prohibitive for small or mid-size businesses; built for large, complex global supply chains
Implementation is a significant project, typically requiring systems integrators and a multi-month rollout
Depth of configuration (knowledge graph, data model) means a real learning curve for planning teams
Frequently Asked Questions
What is o9 Solutions?
o9 Solutions is an enterprise AI platform for integrated business planning — it connects demand, supply, finance, and commercial planning into one system, built around a unified data model the company calls the Digital Brain.
How much does o9 Solutions cost?
o9 does not publish pricing. It's sold as enterprise SaaS with custom, quote-based pricing based on which modules you deploy, data volume, and user count — you need to contact their sales team directly.
Who uses o9 Solutions?
o9 is built for large, complex organizations — primarily Fortune 500-scale CPG, retail, automotive, and manufacturing companies with global supply chains — rather than small or mid-size businesses.
What systems does o9 integrate with?
o9 provides prebuilt connectors for major ERPs like SAP, Oracle, and Microsoft Dynamics, as well as cloud data platforms like Snowflake and Google BigQuery, plus APIs for real-time and batch data integration.
How is o9 different from SAP IBP?
o9 is positioned as an AI-first, ERP-agnostic planning layer (its Digital Brain / Enterprise Knowledge Graph) that can sit over SAP or non-SAP systems, whereas SAP IBP is more tightly coupled to the SAP ecosystem.